Articles | Volume 16, issue 5
https://doi.org/10.5194/hess-16-1349-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-16-1349-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 May 2012
Research article |
| 10 May 2012
Spatial horizontal correlation characteristics in the land data assimilation of soil moisture
X. Han
Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu, 730000, China
Forschungszentrum Jülich, Agrosphere (IBG 3), Leo-Brandt-Strasse, 52425 Jülich, Germany
X. Li
Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu, 730000, China
H. J. Hendricks Franssen
Forschungszentrum Jülich, Agrosphere (IBG 3), Leo-Brandt-Strasse, 52425 Jülich, Germany
H. Vereecken
Forschungszentrum Jülich, Agrosphere (IBG 3), Leo-Brandt-Strasse, 52425 Jülich, Germany
C. Montzka
Forschungszentrum Jülich, Agrosphere (IBG 3), Leo-Brandt-Strasse, 52425 Jülich, Germany
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Cited
29 citations as recorded by crossref.
- Assimilation of SMAP Products for Improving Streamflow Simulations over Tropical Climate Region—Is Spatial Information More Important Than Temporal Information? M. Le et al. 10.3390/rs14071607
- Evaluation and uncertainty analysis of regional-scale CLM4.5 net carbon flux estimates H. Post et al. 10.5194/bg-15-187-2018
- Estimation of Radiative Transfer Parameters from L‐Band Passive Microwave Brightness Temperatures Using Advanced Data Assimilation C. Montzka et al. 10.2136/vzj2012.0040
- Comparison of ensemble-based state and parameter estimation methods for soil moisture data assimilation W. Chen et al. 10.1016/j.advwatres.2015.08.003
- Improving predictions of evapotranspiration by integrating multi-source observations and land surface model X. He et al. 10.1016/j.agwat.2022.107827
- Soil Moisture Assimilation Using a Modified Ensemble Transform Kalman Filter Based on Station Observations in the Hai River Basin G. Wu et al. 10.1155/2016/4569218
- Performance of AMSR_E soil moisture data assimilation in CLM4.5 model for monitoring hydrologic fluxes at global scale D. Liu & A. Mishra 10.1016/j.jhydrol.2017.01.036
- Assimilation of Cosmogenic Neutron Counts for Improved Soil Moisture Prediction in a Distributed Land Surface Model A. Patil et al. 10.3389/frwa.2021.729592
- Closing the Gaps in Our Knowledge of the Hydrological Cycle over Land: Conceptual Problems W. Lahoz & G. De Lannoy 10.1007/s10712-013-9221-7
- Joint Assimilation of Surface Temperature and L‐Band Microwave Brightness Temperature in Land Data Assimilation X. Han et al. 10.2136/vzj2012.0072
- Assimilation of Spatially Sparse In Situ Soil Moisture Networks into a Continuous Model Domain A. Gruber et al. 10.1002/2017WR021277
- Soil Moisture Estimation by Assimilating L-Band Microwave Brightness Temperature with Geostatistics and Observation Localization X. Han et al. 10.1371/journal.pone.0116435
- The potential of 2D Kalman filtering for soil moisture data assimilation A. Gruber et al. 10.1016/j.rse.2015.10.019
- Simultaneous soil moisture and properties estimation for a drip irrigated field by assimilating cosmic-ray neutron intensity X. Han et al. 10.1016/j.jhydrol.2016.05.050
- Improving the estimation of hydrological states in the SWAT model via the ensemble Kalman smoother: Synthetic experiments for the Heihe River Basin in northwest China F. Lei et al. 10.1016/j.advwatres.2014.02.008
- SMOS brightness temperature assimilation into the Community Land Model D. Rains et al. 10.5194/hess-21-5929-2017
- Correction of systematic model forcing bias of CLM using assimilation of cosmic-ray Neutrons and land surface temperature: a study in the Heihe Catchment, China X. Han et al. 10.5194/hess-19-615-2015
- Impacts of Spatiotemporal Gaps in Satellite Soil Moisture Data on Hydrological Data Assimilation K. Mohammed et al. 10.3390/w15020321
- Remotely Sensed Soil Moisture Assimilation in the Distributed Hydrological Model Based on the Error Subspace Transform Kalman Filter Y. Li et al. 10.3390/rs15071852
- Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction R. Baatz et al. 10.5194/hess-21-2509-2017
- Soil moisture and soil properties estimation in the Community Land Model with synthetic brightness temperature observations X. Han et al. 10.1002/2013WR014586
- Vertical distribution and temporal stability of soil water in 21-m profiles under different land uses on the Loess Plateau in China Y. Wang et al. 10.1016/j.jhydrol.2015.05.010
- Soil Moisture Mapping in an Arid Area Using a Land Unit Area (LUA) Sampling Approach and Geostatistical Interpolation Techniques S. Gharechelou et al. 10.3390/ijgi5030035
- Improve the Performance of the Noah‐MP‐Crop Model by Jointly Assimilating Soil Moisture and Vegetation Phenology Data T. Xu et al. 10.1029/2020MS002394
- A New Soil Moisture Downscaling Approach for SMAP, SMOS, and ASCAT by Predicting Sub-Grid Variability C. Montzka et al. 10.3390/rs10030427
- Improving ecological indicators of arid zone deserts through simulation J. Wang et al. 10.1016/j.ecolmodel.2023.110506
- Predicting Near‐Surface Moisture Content of Saline Soils from Near‐Infrared Reflectance Spectra with a Modified Gaussian Model W. Zeng et al. 10.2136/sssaj2016.06.0188
- Harmonizing models and observations: Data assimilation in Earth system science X. Li et al. 10.1007/s11430-019-9620-x
- Assimilation of Sentinel 1 and SMAP – based satellite soil moisture retrievals into SWAT hydrological model: the impact of satellite revisit time and product spatial resolution on flood simulations in small basins S. Azimi et al. 10.1016/j.jhydrol.2019.124367
29 citations as recorded by crossref.
- Assimilation of SMAP Products for Improving Streamflow Simulations over Tropical Climate Region—Is Spatial Information More Important Than Temporal Information? M. Le et al. 10.3390/rs14071607
- Evaluation and uncertainty analysis of regional-scale CLM4.5 net carbon flux estimates H. Post et al. 10.5194/bg-15-187-2018
- Estimation of Radiative Transfer Parameters from L‐Band Passive Microwave Brightness Temperatures Using Advanced Data Assimilation C. Montzka et al. 10.2136/vzj2012.0040
- Comparison of ensemble-based state and parameter estimation methods for soil moisture data assimilation W. Chen et al. 10.1016/j.advwatres.2015.08.003
- Improving predictions of evapotranspiration by integrating multi-source observations and land surface model X. He et al. 10.1016/j.agwat.2022.107827
- Soil Moisture Assimilation Using a Modified Ensemble Transform Kalman Filter Based on Station Observations in the Hai River Basin G. Wu et al. 10.1155/2016/4569218
- Performance of AMSR_E soil moisture data assimilation in CLM4.5 model for monitoring hydrologic fluxes at global scale D. Liu & A. Mishra 10.1016/j.jhydrol.2017.01.036
- Assimilation of Cosmogenic Neutron Counts for Improved Soil Moisture Prediction in a Distributed Land Surface Model A. Patil et al. 10.3389/frwa.2021.729592
- Closing the Gaps in Our Knowledge of the Hydrological Cycle over Land: Conceptual Problems W. Lahoz & G. De Lannoy 10.1007/s10712-013-9221-7
- Joint Assimilation of Surface Temperature and L‐Band Microwave Brightness Temperature in Land Data Assimilation X. Han et al. 10.2136/vzj2012.0072
- Assimilation of Spatially Sparse In Situ Soil Moisture Networks into a Continuous Model Domain A. Gruber et al. 10.1002/2017WR021277
- Soil Moisture Estimation by Assimilating L-Band Microwave Brightness Temperature with Geostatistics and Observation Localization X. Han et al. 10.1371/journal.pone.0116435
- The potential of 2D Kalman filtering for soil moisture data assimilation A. Gruber et al. 10.1016/j.rse.2015.10.019
- Simultaneous soil moisture and properties estimation for a drip irrigated field by assimilating cosmic-ray neutron intensity X. Han et al. 10.1016/j.jhydrol.2016.05.050
- Improving the estimation of hydrological states in the SWAT model via the ensemble Kalman smoother: Synthetic experiments for the Heihe River Basin in northwest China F. Lei et al. 10.1016/j.advwatres.2014.02.008
- SMOS brightness temperature assimilation into the Community Land Model D. Rains et al. 10.5194/hess-21-5929-2017
- Correction of systematic model forcing bias of CLM using assimilation of cosmic-ray Neutrons and land surface temperature: a study in the Heihe Catchment, China X. Han et al. 10.5194/hess-19-615-2015
- Impacts of Spatiotemporal Gaps in Satellite Soil Moisture Data on Hydrological Data Assimilation K. Mohammed et al. 10.3390/w15020321
- Remotely Sensed Soil Moisture Assimilation in the Distributed Hydrological Model Based on the Error Subspace Transform Kalman Filter Y. Li et al. 10.3390/rs15071852
- Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction R. Baatz et al. 10.5194/hess-21-2509-2017
- Soil moisture and soil properties estimation in the Community Land Model with synthetic brightness temperature observations X. Han et al. 10.1002/2013WR014586
- Vertical distribution and temporal stability of soil water in 21-m profiles under different land uses on the Loess Plateau in China Y. Wang et al. 10.1016/j.jhydrol.2015.05.010
- Soil Moisture Mapping in an Arid Area Using a Land Unit Area (LUA) Sampling Approach and Geostatistical Interpolation Techniques S. Gharechelou et al. 10.3390/ijgi5030035
- Improve the Performance of the Noah‐MP‐Crop Model by Jointly Assimilating Soil Moisture and Vegetation Phenology Data T. Xu et al. 10.1029/2020MS002394
- A New Soil Moisture Downscaling Approach for SMAP, SMOS, and ASCAT by Predicting Sub-Grid Variability C. Montzka et al. 10.3390/rs10030427
- Improving ecological indicators of arid zone deserts through simulation J. Wang et al. 10.1016/j.ecolmodel.2023.110506
- Predicting Near‐Surface Moisture Content of Saline Soils from Near‐Infrared Reflectance Spectra with a Modified Gaussian Model W. Zeng et al. 10.2136/sssaj2016.06.0188
- Harmonizing models and observations: Data assimilation in Earth system science X. Li et al. 10.1007/s11430-019-9620-x
- Assimilation of Sentinel 1 and SMAP – based satellite soil moisture retrievals into SWAT hydrological model: the impact of satellite revisit time and product spatial resolution on flood simulations in small basins S. Azimi et al. 10.1016/j.jhydrol.2019.124367
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